Every health system is being asked to make decisions about AI. Few leaders have the context they would like to guide those decisions. Fewer have had the chance to hear from the people who actually build it: How does a healthcare LLM really work? What makes it safe? And what should I demand from any AI vendor before it touches a patient?
This is that chance.
Join the clinical and LLM research leaders at Hippocratic AI for a 60-minute session that pulls back the curtain on how large language models are purpose-built for healthcare. No hype, no jargon — the questions you’ve always wanted to ask, answered by the people who design safety and medical specificity into the model itself.
You’ll learn:
- How a healthcare-specific LLM differs from a general-purpose model — and why it matters for patient care
- How safety is engineered in, not bolted on: safety LLMs, automated clinical critics, and human clinician oversight at scale
- What medical specificity actually looks like inside a model trained on 260M+ patient interactions
- What to expect — and what to demand — from any agentic AI before your organization deploys it
Plus a live demo: You’ll see the AI Certified Agent Builder, just brought to market — the only agent builder with built-in safety validation, so your team can design, simulate, and deploy your own certified agents with confidence. Describe a program in plain language, watch it simulate against realistic patient archetypes, and see how every agent passes through clinical certification before it ever reaches a patient.
Whether you’re a CEO weighing AI strategy, a CIO evaluating vendors, a Chief Clinical Officer protecting care standards, or an innovation officer building the roadmap — this is what’s cutting edge in healthcare LLMs today.